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Berth planning plays an important role in improving the efficiency of a container terminal. This study focuses on the berth template problem (BTP), which determines the berthing windows of the calling ships within a planning horizon (e.g. a week) in a cyclical way. As a mid-term tactical decision problem, BTP provides the decision support for a terminal operator to negotiate the contracts with the shipping lines. This study develops an integer programming (IP) model aiming to minimize the total deviation, given the ship-dependent target times preferred by the shipping lines. To validate the model and illustrate the benefits of its use, we perform a numerical experiment based on operational data of a specific container terminal in Southeast Asia. Two IP-based heuristic methods are developed to take into account the decision framework of terminal operators in reaction to demand increases. The experiment results indicate that the model and the solution approaches can enhance the resource utilization and operational efficiency of container terminals. [ABSTRACT FROM AUTHOR]

Revenue management (RM), a common practice for the hotel industry, has been found to be very effective in generating extra revenue. However, prior studies have shown that the implementation of RM may potentially be in conflict with customer loyalty, the basis for long-term profitability. With a view to alleviating the impact of RM on customer loyalty, this study investigates the relationship between customer loyalty and RM knowledge level, and examines the moderating effect of the fairness perception for pricing based on a survey and the related statistical analyses. The findings suggest that hotel operators should facilitate the RM knowledge and the fairness perception of their customers so as to result in a potential win-win situation, in which profit-seeking hotels increase their revenue through better resource utilization, and heterogeneous customers benefit from more diversified services. [ABSTRACT FROM PUBLISHER]